R^2 vs. -log10(pvalue), stratified by country number and gender
## Warning: Removed 33 rows containing missing values (geom_point).
## Warning: Removed 24 rows containing missing values (geom_point).
Odds Ratio vs. -log10(pvalue)
I^2 vs. -log10(pvalue), stratified by survey number and gender
## Warning: Removed 3 rows containing missing values (geom_point).
Summary Tables
## # A tibble: 2 x 2
## gender n
## <chr> <int>
## 1 f 373
## 2 m 344
## # A tibble: 8 x 4
## # Groups: sig, gender [2]
## sig gender num_country_bin n
## <lgl> <chr> <fct> <int>
## 1 TRUE f (0,1] 209
## 2 TRUE f (1,10] 39
## 3 TRUE f (10,20] 35
## 4 TRUE f (20,30] 90
## 5 TRUE m (0,1] 236
## 6 TRUE m (1,10] 38
## 7 TRUE m (10,20] 34
## 8 TRUE m (20,30] 36
## `summarise()` regrouping output by 'num_country_bin' (override with `.groups` argument)
| gender |
n |
q_25_or |
q_50_or |
q_75_or |
q_25_I2 |
q_50_I2 |
q_75_I2 |
q_25_r2 |
q_50_r2 |
q_75_r2 |
| (0,1] |
| f |
4543 |
1.20 |
1.62 |
3.69 |
0.00 |
0.00 |
0.00 |
8.56 × 10−5 |
3.58 × 10−4 |
1.17 × 10−3 |
| m |
4089 |
1.24 |
1.78 |
12.67 |
0.00 |
0.00 |
0.00 |
8.39 × 10−5 |
3.29 × 10−4 |
1.12 × 10−3 |
| (1,10] |
| f |
1702 |
1.19 |
1.67 |
136.40 |
0.00 |
62.10 |
99.01 |
2.56 × 10−4 |
6.30 × 10−4 |
1.39 × 10−3 |
| m |
1488 |
1.24 |
2.30 |
526.30 |
0.00 |
64.85 |
99.14 |
2.42 × 10−4 |
5.91 × 10−4 |
1.26 × 10−3 |
| (10,20] |
| f |
467 |
1.15 |
3.93 |
110.95 |
49.80 |
98.59 |
99.39 |
4.10 × 10−4 |
7.67 × 10−4 |
1.22 × 10−3 |
| m |
368 |
1.17 |
3.44 |
189.43 |
47.49 |
98.38 |
99.41 |
4.09 × 10−4 |
7.70 × 10−4 |
1.57 × 10−3 |
| (20,30] |
| f |
539 |
1.17 |
1.65 |
9.88 |
56.04 |
97.57 |
99.35 |
4.77 × 10−4 |
8.42 × 10−4 |
1.42 × 10−3 |
| m |
343 |
1.26 |
3.68 |
56.47 |
67.70 |
99.14 |
99.48 |
4.71 × 10−4 |
7.10 × 10−4 |
1.22 × 10−3 |
## `summarise()` regrouping output by 'num_country_bin' (override with `.groups` argument)
| gender |
n |
q_25_or |
q_50_or |
q_75_or |
q_25_I2 |
q_50_I2 |
q_75_I2 |
q_25_r2 |
q_50_r2 |
q_75_r2 |
| (0,1] |
| f |
209 |
2.69 |
871,167.69 |
3,311,394.30 |
0.00 |
0.00 |
0.00 |
1.64 × 10−3 |
3.22 × 10−3 |
7.64 × 10−3 |
| m |
236 |
1,016,942.20 |
3,344,900.40 |
6,751,671.86 |
0.00 |
0.00 |
0.00 |
1.60 × 10−3 |
2.50 × 10−3 |
5.86 × 10−3 |
| (1,10] |
| f |
39 |
1.55 |
1.98 |
14,451.18 |
0.00 |
10.48 |
67.59 |
1.68 × 10−3 |
2.63 × 10−3 |
4.80 × 10−3 |
| m |
38 |
2.31 |
443,747.77 |
2,182,770.88 |
0.00 |
0.60 |
86.23 |
1.28 × 10−3 |
1.84 × 10−3 |
3.54 × 10−3 |
| (10,20] |
| f |
35 |
1.34 |
1.51 |
1.92 |
21.63 |
51.69 |
73.08 |
1.25 × 10−3 |
1.94 × 10−3 |
3.20 × 10−3 |
| m |
34 |
1.39 |
1.56 |
1.90 |
17.25 |
50.51 |
61.30 |
1.73 × 10−3 |
2.27 × 10−3 |
5.17 × 10−3 |
| (20,30] |
| f |
90 |
1.36 |
1.57 |
1.77 |
48.98 |
65.01 |
75.69 |
1.72 × 10−3 |
2.61 × 10−3 |
3.76 × 10−3 |
| m |
36 |
1.26 |
1.48 |
1.87 |
59.49 |
64.83 |
82.21 |
1.47 × 10−3 |
2.42 × 10−3 |
3.14 × 10−3 |
## `summarise()` ungrouping output (override with `.groups` argument)
| gender |
n |
q_25_or |
q_50_or |
q_75_or |
q_25_I2 |
q_50_I2 |
q_75_I2 |
q_25_r2 |
q_50_r2 |
q_75_r2 |
| f |
31 |
1.42 |
1.57 |
1.82 |
57.99 |
69.43 |
75.01 |
2.03 × 10−3 |
2.93 × 10−3 |
4.02 × 10−3 |
| m |
16 |
1.20 |
1.39 |
1.62 |
59.49 |
60.60 |
75.39 |
1.72 × 10−3 |
2.51 × 10−3 |
6.01 × 10−3 |
ECDFs of effect sizes
## Warning: Removed 16 rows containing non-finite values (stat_ecdf).
Identified Associations
## `summarise()` regrouping output by 'name' (override with `.groups` argument)
## # A tibble: 4 x 3
## # Groups: gender [2]
## gender sig n
## <chr> <lgl> <int>
## 1 f FALSE 6878
## 2 f TRUE 373
## 3 m FALSE 5944
## 4 m TRUE 344
Top Associations for females across 20-29 countries in Sub-Saharan Africa
## Warning: Removed 2 rows containing missing values (geom_point).
## Warning: Removed 1 rows containing missing values (geom_point).
Top Associations for males across 20-29 countries in Sub-Saharan Africa
Concordance of Odds Ratios of males vs. females across Sub-Saharan Africa
Country by country correlation for males
## 25% 50% 75%
## 0.1029621 0.2047824 0.3064261
Country by country correlation for females
## 25% 50% 75%
## 0.1486389 0.2627353 0.3701838
Country-by-country correlation of correlations
## correlation_females correlation_males
## correlation_females 1.0000000 0.4923484
## correlation_males 0.4923484 1.0000000